Ethical Fashion Dashboard

Interactive dashboard exploring sustainability and fair wage practices of various fashion companies and their headquarters
Contains visualizations of 5 key metrics related to sustainability and fair wage practices. End-to-end process includes sourcing data from Fashion Revolution, cleaning and formatting in Python, loading into PostgreSQL via SQLAlchemy, creating a Flask App to link PostgreSQL database, constructing a website using JavaScript, Bootstrap, and HTML, and creating visualizations using D3, Plotly, and Leaflet.

Contains visualizations of 5 key metrics related to sustainability and fair wage practices. End-to-end process includes sourcing data from Fashion Revolution, cleaning and formatting in Python, loading into PostgreSQL via SQLAlchemy, creating a Flask App to link PostgreSQL database, constructing a website using JavaScript, Bootstrap, and HTML, and creating visualizations using D3, Plotly, and Leaflet.

** Note: Interactive dashboard is not public because the data is not connected to a server, it is stored locally. As a result, a video demonstration of the dashboard is provided.

Visualizing Collisions

Exploratory analysis of traffic accidents in the United States between 2016-2022
Analyzes numerous potentially influential factors related to traffic accidents such as weather, time of day, location, temperature, etc. Utilizes the Census API to standardize city size based on population, ensuring a uniform basis for comparing accident rates across cities. End-to-end process includes sourcing data from Kaggle, incorporating the Census API to standardize city size, cleaning, merging, and formatting data in Python, and visualizing the results graphically.

Analyzes numerous potentially influential factors related to traffic accidents such as weather, time of day, location, temperature, etc. Utilizes the Census API to standardize city size based on population, ensuring a uniform basis for comparing accident rates across cities. End-to-end process includes sourcing data from Kaggle, incorporating the Census API to standardize city size, cleaning, merging, and formatting data in Python, and visualizing the results graphically.

For more visualizations click here